--- license: cc-by-4.0 dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: file_path dtype: string splits: - name: train num_bytes: 17672959 num_examples: 50 - name: validation num_bytes: 2611590022.354 num_examples: 6594 - name: test num_bytes: 17677078 num_examples: 50 download_size: 4661898165 dataset_size: 2646940059.354 configs: - config_name: default data_files: - split: test path: data/test-* task_categories: - automatic-speech-recognition language: - bn --- # Dataset Card for SUBAK.KO ## Table of Contents - [Dataset Card for SUBAK.KO](#dataset-card-for-SUBAK.KO) - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Initial Data Collection and Normalization](#initial-data-collection-and-normalization) - [Who are the source language producers?](#who-are-the-source-language-producers) - [Annotations](#annotations) - [Annotation process](#annotation-process) - [Who are the annotators?](#who-are-the-annotators) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** https://doi.org/10.5281/zenodo.7068130 - **Repository:** [Needs More Information] - **Paper:** [A non-expert Kaldi recipe for Vietnamese Speech Recognition System](https://aclanthology.org/W16-5207/) - **Leaderboard:** [Needs More Information] - **Point of Contact:** [AILAB](mailto:ailab@hcmus.edu.vn) ### Dataset Summary VIVOS is a free Vietnamese speech corpus consisting of 15 hours of recording speech prepared for Vietnamese Automatic Speech Recognition task. The corpus was prepared by AILAB, a computer science lab of VNUHCM - University of Science, with Prof. Vu Hai Quan is the head of. We publish this corpus in hope to attract more scientists to solve Vietnamese speech recognition problems. ### Supported Tasks and Leaderboards [Needs More Information] ### Languages Vietnamese ## Dataset Structure ### Data Instances A typical data point comprises the path to the audio file, called `path` and its transcription, called `sentence`. Some additional information about the speaker and the passage which contains the transcription is provided. ``` {'speaker_id': 'VIVOSSPK01', 'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav', 'audio': {'path': '/home/admin/.cache/huggingface/datasets/downloads/extracted/b7ded9969e09942ab65313e691e6fc2e12066192ee8527e21d634aca128afbe2/vivos/train/waves/VIVOSSPK01/VIVOSSPK01_R001.wav', 'array': array([-0.00048828, -0.00018311, -0.00137329, ..., 0.00079346, 0.00091553, 0.00085449], dtype=float32), 'sampling_rate': 16000}, 'sentence': 'KHÁCH SẠN'} ``` ### Data Fields - speaker_id: An id for which speaker (voice) made the recording - path: The path to the audio file - audio: A dictionary containing the path to the downloaded audio file, the decoded audio array, and the sampling rate. Note that when accessing the audio column: `dataset[0]["audio"]` the audio file is automatically decoded and resampled to `dataset.features["audio"].sampling_rate`. Decoding and resampling of a large number of audio files might take a significant amount of time. Thus it is important to first query the sample index before the `"audio"` column, *i.e.* `dataset[0]["audio"]` should **always** be preferred over `dataset["audio"][0]`. - sentence: The sentence the user was prompted to speak ### Data Splits The speech material has been subdivided into portions for train and test. Speech was recorded in a quiet environment with high quality microphone, speakers were asked to read one sentence at a time. | | Train | Test | | ---------------- | ----- | ----- | | Speakers | 46 | 19 | | Utterances | 11660 | 760 | | Duration | 14:55 | 00:45 | | Unique Syllables | 4617 | 1692 | ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization [Needs More Information] #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process [Needs More Information] #### Who are the annotators? [Needs More Information] ### Personal and Sensitive Information The dataset consists of people who have donated their voice online. You agree to not attempt to determine the identity of speakers in this dataset. ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations Dataset provided for research purposes only. Please check dataset license for additional information. ## Additional Information ### Dataset Curators The dataset was initially prepared by AILAB, a computer science lab of VNUHCM - University of Science. ### Licensing Information Public Domain, Creative Commons Attribution NonCommercial ShareAlike v4.0 ([CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode)) ### Citation Information ``` @inproceedings{luong-vu-2016-non, title = "A non-expert {K}aldi recipe for {V}ietnamese Speech Recognition System", author = "Luong, Hieu-Thi and Vu, Hai-Quan", booktitle = "Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies ({WLSI}/{OIAF}4{HLT}2016)", month = dec, year = "2016", address = "Osaka, Japan", publisher = "The COLING 2016 Organizing Committee", url = "https://aclanthology.org/W16-5207", pages = "51--55", } ``` ### Contributions Thanks to [@binh234](https://github.com/binh234) for adding this dataset.